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Articles by AmitDiwan
Page 702 of 840
How can patch plot with multiple patches be visualized in Bokeh?
Bokeh is a Python package that helps in data visualization. It is an open source project. Bokeh renders its plot using HTML and JavaScript. This indicates that it is useful while working with web-based dashboards.Bokeh can be easily used in conjunction with NumPy, Pandas, and other Python packages. It can be used to produce interactive plots, dashboards, and so on. It helps in communicating the quantitative insights to the audience effectively.Matplotlib and Seaborn produce static plots, whereas Bokeh produces interactive plots. This means when the user interacts with these plots, they change accordingly.Plots can be embedded as output of Flask ...
Read MoreWhat is time series with respect to Machine Learning?
Time series, as the name suggests, is data that contains certain time periods or time stamps. It contains observations over certain time period. This kind of data tells us about how variables change over time based on various factors. Time series analysing and forecasting can be used to predict data with respect to some future time.Univariate time series contains values taken with respect to a single variable at certain time instances over a period of time. A multivariate time series contains values taken with respect to multiple variables at same periodic instances of time.Time series consists of 4 components that ...
Read MoreHow can scikit-learn package be used to transform an array of specific size to a different size?
Scikit−learn, commonly known as sklearn is a library in Python that is used for the purpose of implementing machine learning algorithms. It is an open-source library hence it can be used free of cost. It is powerful and robust, since it provides a wide variety of tools to perform statistical modelling. This includes classification, regression, clustering, dimensionality reduction, and much more with the help of a powerful, and stable interface in Python. The library is built on Numpy, SciPy and Matplotlib libraries.It can be installed using the ‘pip’ command as shown below −pip install scikit−learnThis library focuses on data modelling. ...
Read MoreHow can an input data array be transformed to a new data array using the process of streamlining using scikit-learn pipelining tools?
Scikit−learn, commonly known as sklearn is a library in Python that is used for the purpose of implementing machine learning algorithms. It is an open−source library hence it can be used free of cost.It is powerful and robust, since it provides a wide variety of tools to perform statistical modelling. This includes classification, regression, clustering, dimensionality reduction, and much more with the help of a powerful, and stable interface in Python.This library is built on Numpy, SciPy and Matplotlib libraries.It can be installed using the ‘pip’ command as shown below −pip install scikit−learnThis library focuses on data modelling.The streamlining operation ...
Read MoreDiameter of a Binary Tree in O(n) [A new method] in C++?
The diameter of a binary tree is the (left_height + right_height + 1) for each node. So in this method we will calculate (left_height + right_height + 1) for each node and update the result . The time complexity here stays O(n).Let us first define the struct that would represent a tree node that contains the data and its left and right node child. If this is the first node to be created then it’s a root node otherwise a child node.struct Node { int data; struct Node *leftChild, *rightChild; };Next we create our newNode(int data) function that ...
Read MoreDiagonal Traversal of Binary Tree in C++?
To consider the nodes that are passing between lines of slope -1. The diagonal traversal of the binary tree will be to traverse and print all those nodes present between these lines.Let us first define the struct that would represent a tree node that contains the data and its left and right node child. If this is the first node to be created then it’s a root node otherwise a child node.struct Node { int data; struct Node *leftChild, *rightChild; };Next we create our createNode(int data) function that takes an int value and assign it to the data ...
Read MoreSet user-defined variable with table name in MySQL prepare statement?
Let us first create a table −mysql> create table DemoTable ( StudentId int NOT NULL AUTO_INCREMENT PRIMARY KEY, StudentName varchar(20) ); Query OK, 0 rows affected (0.71 sec)Insert some records in the table using insert command −mysql> insert into DemoTable(StudentName) values('Chris'); Query OK, 1 row affected (0.21 sec) mysql> insert into DemoTable(StudentName) values('David'); Query OK, 1 row affected (0.06 sec) mysql> insert into DemoTable(StudentName) values('Sam'); Query OK, 1 row affected (0.13 sec) mysql> insert into DemoTable(StudentName) values('Mike'); Query OK, 1 row affected (0.12 sec)Display all records from the table using select statement −mysql> select * from DemoTable;This will ...
Read MoreWhat are the different kinds of gradient descent algorithms in Machine Learning?
The idea behind using gradient descent is to minimize the loss when in various machine learning algorithms. Mathematically speaking, the local minimum of a function is obtained.To implement this, a set of parameters are defined, and they need to be minimized. Once the parameters are assigned coefficients, the error or loss is calculated. Next, the weights are updated to ensure that the error is minimized. Instead of parameters, weak learners can be users, such as decision trees.Once the loss is calculated, gradient descent is performed, and tree is added to the algorithm step wise, so that loss is minimal.Some examples ...
Read MoreHow can Deep Learning be used for facial recognition in Machine Learning?
Face recognition is the task of identifying and verifying people present in a photograph based on their face. This is a trivial task for humans, even if the lights are varying or when faces change due to age or they are obstructed with accessories, facial hair and so on.But it remained a fairly challenging computer vision problem until a few years back. Deep learning methods have been able to leverage large datasets of faces and learn various representations of faces, thereby allowing modern learning models to perform well and better.Facial recognition may be used to identify person in a photograph ...
Read MoreWhat are layers in a Neural Network with respect to Deep Learning in Machine Learning?
A neural network can contains any number of neurons. These neurons are organized in the form of interconnected layers. The input layer can be used to represent the dataset and the initial conditions on the data.For example, suppose the input is a grayscale image, the output of every neuron in the input layer would be the intensity of every pixel of the image.This is the reason we don’t count the input layer as a part of the other layers in the neural network. When we refer to a 1-layer net, we actually refer to a simple network that contains one ...
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